Structural Equation Modeling

Modelling perceptual metrics

We use Structural Equation Modelling (SEM) to understand the latent (unobserved) indicators behind key perceptual metrics. By understanding the interlinking relationships between brand metrics, we can gauge the key levers required to increase scores for perceptions of interest.

Above is an example of how we have understood the direct and indirect relationships between value and brand I love. The interlinking between intrinsic and extrinsic factors, brand personality and occasion helped our client to devise communications and content that worked on these salient relationships to drive a higher score for Brand I Love.

Benefits

Understand the relative strength of key drivers to brand perceptions.

Formulate communications messages and strategy that works to trigger the latent drivers of brand perception and performance.

What People Are Saying

I was immediately impressed by the elegance of the visual, the ease of understanding it, and the power of the analysis behind it. It’s a wonderfully powerful and unique approach to graphical analysis. - Leonard F. Murphy | Chief Editor & Principal Consultant GreenBook Research Industry Trends